Backgrounds: Targeted therapy is the foundation of personalized medicine in cancer, which is often
understood as the right patient using the right drug. Thinking from the viewpoint of determinants during personalized
drug treatment, the genetics, epigenetics and metagenomics would provide individual-specific biological
elements to characterize the personalized responses for therapy.
Methods: Such personalized determinants should be not only understood as specific to one person, while they
should have certain replicate observations in a group of individuals but not all, which actually provide more
credible and reproducible personalized biological features. The requirement of detecting personalized
determinants is well supported by novel high-throughput sequencing technologies and newly temporal-spatial
experimental protocols, which quickly produce the omics big data.
Results: In this mini-review, we would like to give a brief introduction firstly on the advanced drug or drug-like
therapy with genetics, epigenetics and metagenomics, respectively, from the viewpoint of personalized
determinants; then summarize the computational methods helpful to analyze the corresponding omics data under
the consideration of personalized biological context; and particularly focus on metagenomics to discuss current
data, method, and opportunity for personalized medicine.
Conclusion: Totally, detecting personalized determinants during drug treatment from omics big data will bring
the precision medicine or personalized medicine from concept to application. More and more inspiring biotechnologies,
data resources, and analytic approaches will benefit All of US in the near future.